Complete response to anti-PD-L1 antibody in a metastatic bladder cancer associated with novel MSH4 mutation and microsatellite instability

Background Microsatellite instability (MSI) occurs in 3% of urothelial carcinomas as a result of germline or somatic loss of function mutation in mismatch repair (MMR) proteins.1 Although MSH4 is a member of the DNA MMR mutS family, the association of MSH4 mutation with MSI has not been described. We report a complete responder to PD-L1 blockade who had MSH4 mutated metastatic bladder cancer with mixed histology and MSI. The genomics of urothelial, plasmacytoid and squamous histology was characterized individually through microdissection. Case presentation An 81-year-old man was diagnosed with metastatic urothelial carcinoma 8 months after a cystectomy for muscle invasive bladder cancer. His disease was primary refractory to first-line platinum-based chemotherapy but attained complete response to second-line atezolizumab. PCR-based assay revealed MSI high. The tumor mutational burden was elevated to 36.7 mut/Mb. However, immunohistochemistry of MLH1, MSH2, MSH6 and PMS2 was intact. Whole exome sequencing confirmed that the above mentioned four classic MMR genes were wild type but revealed a deleterious MSH4 L359I mutation with variant allele fraction of 30% and Polyphen2 score of 0.873. The association of MSH4 alterations and MSI-H was independently verified in two publicly available MSI-H colorectal cancer datasets. Conclusions The novel MSH4 L359I mutation is associated with MSI and high mutational burden leading to remarkable response to PD-L1 blockade. More studies are warranted to establish the causality relationship between MSH4 and MSI.

[1]  J. Moser,et al.  First-line pembrolizumab therapy in a cisplatin-ineligible patient with plasmacytoid urothelial carcinoma: A case report , 2020, Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners.

[2]  Z. Pursell,et al.  POLE proofreading defects: Contributions to mutagenesis and cancer. , 2019, DNA repair.

[3]  G. Pond,et al.  Impact of pure versus mixed metastatic urothelial carcinoma (mUC) histology on response with immune checkpoint inhibitors (ICIs). , 2019, Journal of Clinical Oncology.

[4]  L. Thomas,et al.  Plasmacytoid variant urothelial carcinoma: Clinicopathologic outcomes and experience with neoadjuvant chemotherapy. , 2019, Journal of Clinical Oncology.

[5]  T A Chan,et al.  Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[6]  P. Hegde,et al.  Atezolizumab versus chemotherapy in patients with platinum-treated locally advanced or metastatic urothelial carcinoma (IMvigor211): a multicentre, open-label, phase 3 randomised controlled trial , 2018, The Lancet.

[7]  N. Schultz,et al.  Defining the DNA damage repair (DDR) genomic landscape of urothelial carcinoma of the bladder (UCB). , 2018 .

[8]  I. Ostrovnaya,et al.  Pre-operative chemotherapy (ctx) in plasmacytoid urothelial carcinoma (PUC). , 2018 .

[9]  T. Chan,et al.  ImmunoMap: A Bioinformatics Tool for T-cell Repertoire Analysis , 2017, Cancer Immunology Research.

[10]  Harini Veeraraghavan,et al.  Heterogeneous Tumor-Immune Microenvironments among Differentially Growing Metastases in an Ovarian Cancer Patient , 2017, Cell.

[11]  G. Iyer,et al.  Mismatch repair (MMR) detection in urothelial carcinoma (UC) and correlation with immune checkpoint blockade (ICB) response. , 2017 .

[12]  S. Culine,et al.  Pembrolizumab as Second‐Line Therapy for Advanced Urothelial Carcinoma , 2017, The New England journal of medicine.

[13]  Roland Eils,et al.  Complex heatmaps reveal patterns and correlations in multidimensional genomic data , 2016, Bioinform..

[14]  Jeremy J Jay,et al.  Lollipops in the Clinic: Information Dense Mutation Plots for Precision Medicine , 2016, PloS one.

[15]  M. Nielsen,et al.  NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets , 2016, Genome Medicine.

[16]  B. Taylor,et al.  Frequent somatic CDH1 loss-of-function mutations in plasmacytoid variant bladder cancer , 2016, Nature Genetics.

[17]  Ian Tomlinson,et al.  A panoply of errors: polymerase proofreading domain mutations in cancer , 2016, Nature Reviews Cancer.

[18]  C. Morrison,et al.  Whole-genome sequencing of a malignant granular cell tumor with metabolic response to pazopanib , 2015, Cold Spring Harbor molecular case studies.

[19]  M. Nielsen,et al.  Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification , 2015, Immunogenetics.

[20]  Bert Vogelstein,et al.  PD-1 Blockade in Tumors with Mismatch-Repair Deficiency. , 2015, The New England journal of medicine.

[21]  F. Sinicrope,et al.  Microsatellite Instability Testing and Its Role in the Management of Colorectal Cancer , 2015, Current Treatment Options in Oncology.

[22]  Z. Modrušan,et al.  Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing , 2014, Nature.

[23]  Yang Xu,et al.  MutS homologue hMSH4: interaction with eIF3f and a role in NHEJ-mediated DSB repair , 2013, Molecular Cancer.

[24]  C. Her,et al.  Send Orders of Reprints at Reprints@benthamscience.net Muts Homologues Hmsh4 and Hmsh5: Genetic Variations, Functions, and Implications in Human Diseases , 2022 .

[25]  I. Adzhubei,et al.  Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2 , 2013, Current protocols in human genetics.

[26]  Kenny Q. Ye,et al.  An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.

[27]  Wendy S. W. Wong,et al.  Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs , 2012, Bioinform..

[28]  Benjamin E. Gross,et al.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. , 2012, Cancer discovery.

[29]  Kenneth H. Buetow,et al.  Bioinformatics Applications Note Sequence Analysis Bambino: a Variant Detector and Alignment Viewer for Next-generation Sequencing Data in the Sam/bam Format , 2022 .

[30]  H. Raventós,et al.  In vivo and in vitro genetic evidence of involvement of neuregulin 1 in immune system dysregulation , 2010, Journal of molecular medicine.

[31]  H. Hakonarson,et al.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data , 2010, Nucleic acids research.

[32]  E. Friedman,et al.  Multipopulation analysis of polymorphisms in five mononucleotide repeats used to determine the microsatellite instability status of human tumors. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[33]  Tatiana A. Tatusova,et al.  NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins , 2004, Nucleic Acids Res..

[34]  T. Hubbard,et al.  A census of human cancer genes , 2004, Nature Reviews Cancer.

[35]  Wei Yang,et al.  Crystal structures of mismatch repair protein MutS and its complex with a substrate DNA , 2000, Nature.

[36]  P. Ross-Macdonald,et al.  Mutation of a meiosis-specific MutS homolog decreases crossing over but not mismatch correction , 1994, Cell.

[37]  O. Lund,et al.  NetMHCpan, a method for MHC class I binding prediction beyond humans , 2008, Immunogenetics.

[38]  Stefan Britsch,et al.  The neuregulin-I/ErbB signaling system in development and disease. , 2007, Advances in anatomy, embryology, and cell biology.

[39]  S. Britsch Introduction: Molecular control of development , 2007 .

[40]  Claude-Alain H. Roten,et al.  Theoretical and practical advances in genome halving , 2004 .

[41]  Elizabeth M. Smigielski,et al.  dbSNP: the NCBI database of genetic variation , 2001, Nucleic Acids Res..